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サプライチェーン向けAI- 世界市場の展望(2019年~2027年)

Artificial Intelligence in Supply Chain - Global Market Outlook (2019-2027)

発行 Stratistics Market Research Consulting 商品コード 942560
出版日 ページ情報 英文 173 Pages
納期: 2-3営業日
価格
本日の銀行送金レート: 1USD=108.31円で換算しております。
サプライチェーン向けAI- 世界市場の展望(2019年~2027年) Artificial Intelligence in Supply Chain - Global Market Outlook (2019-2027)
出版日: 2020年06月01日 ページ情報: 英文 173 Pages
概要

世界のサプライチェーン向けAI市場は予測期間中43.0%のCAGRで推移し、2019年の10億7868万米ドルから、2027年には188億6179万米ドルの規模に成長すると予測されています。 ビッグデータに対する需要の増加や、可視性・透明性の向上への需要が、市場の成長を促進しています。ただし、AIエキスパートの数が限られていることや、複数ソースからのデータ統合の困難さが、市場の成長を妨げています。

当レポートでは、世界のサプライチェーン向けAIの市場を調査し、市場および製品の概要、市場成長への各種影響因子および市場機会の分析、提供・テクノロジー・アプリケーション・エンドユーザー・地域/主要国など各種区分別の動向と市場規模の推移と予測、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 エグゼクティブサマリー

第2章 イントロダクション

第3章 市場動向分析

  • 促進要因
  • 抑制要因
  • 市場機会
  • 脅威
  • テクノロジー分析
  • アプリケーション分析
  • エンドユーザー分析
  • 新興市場
  • Covid-19の影響

第4章 ポーターのファイブフォース分析

第5章 世界のサプライチェーン向けAI市場:提供別

  • ハードウェア
    • プロセッサー
    • 記憶
    • 通信網
  • ソフトウェア
    • AIプラットフォーム
    • AIソリューション
  • サービス
    • 導入・統合
    • サポート・メンテナンス

第6章 世界のサプライチェーン向けAI市場:テクノロジー別

  • 機械学習
    • 教師あり学習
    • 教師なし学習
    • 強化学習
  • 自然言語処理(NLP)
  • コンテキスト認識コンピューティング
  • コンピュータビジョン
  • 認知コンピューティング

第7章 世界のサプライチェーン向けAI市場:アプリケーション別

  • フリート管理
  • サプライチェーン計画
  • 倉庫管理
  • バーチャルアシスタント
  • 危機管理
  • 貨物仲介
  • 計画・ロジスティクス
  • 在庫管理
  • 運用調達
  • サプライヤー関係管理

第8章 世界のサプライチェーン向けAI市場:エンドユーザー別

  • 自動車
  • 航空宇宙
  • 製造
  • 小売
  • ヘルスケア
  • 消費者向けパッケージ商品
  • 食品・飲料
  • エネルギー・電力

第9章 サプライチェーン市場における世界の人工知能: 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • イタリア
    • フランス
    • スペイン
    • その他欧州
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他
  • 中東・アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他

第10章 主な発展

  • 契約、提携、協業、合弁事業
  • 買収と合併
  • 新製品の発売
  • 拡張
  • その他の主な戦略

第11章 企業プロファイル

  • NVIDIA
  • IBM
  • Intel
  • Xilinx
  • Samsung Electronics
  • Micron Technology
  • Microsoft
  • Amazon
  • SAP
  • Oracle
  • Logility
  • LLamasoft, Inc.
  • ClearMetal
  • Splice Machine
  • Cainiao Network
図表

List of Tables

  • Table 1 Global Artificial Intelligence in Supply Chain Market Outlook, By Region (2018-2027) ($MN)
  • Table 2 Global Artificial Intelligence in Supply Chain Market Outlook, By Offering (2018-2027) ($MN)
  • Table 3 Global Artificial Intelligence in Supply Chain Market Outlook, By Hardware (2018-2027) ($MN)
  • Table 4 Global Artificial Intelligence in Supply Chain Market Outlook, By Processors (2018-2027) ($MN)
  • Table 5 Global Artificial Intelligence in Supply Chain Market Outlook, By Memory (2018-2027) ($MN)
  • Table 6 Global Artificial Intelligence in Supply Chain Market Outlook, By Network (2018-2027) ($MN)
  • Table 7 Global Artificial Intelligence in Supply Chain Market Outlook, By Software (2018-2027) ($MN)
  • Table 8 Global Artificial Intelligence in Supply Chain Market Outlook, By AI Platforms (2018-2027) ($MN)
  • Table 9 Global Artificial Intelligence in Supply Chain Market Outlook, By AI Solutions (2018-2027) ($MN)
  • Table 10 Global Artificial Intelligence in Supply Chain Market Outlook, By Services (2018-2027) ($MN)
  • Table 11 Global Artificial Intelligence in Supply Chain Market Outlook, By Deployment & Integration (2018-2027) ($MN)
  • Table 12 Global Artificial Intelligence in Supply Chain Market Outlook, By Support & Maintenance (2018-2027) ($MN)
  • Table 13 Global Artificial Intelligence in Supply Chain Market Outlook, By Technology (2018-2027) ($MN)
  • Table 14 Global Artificial Intelligence in Supply Chain Market Outlook, By Machine Learning (2018-2027) ($MN)
  • Table 15 Global Artificial Intelligence in Supply Chain Market Outlook, By Supervised Learning (2018-2027) ($MN)
  • Table 16 Global Artificial Intelligence in Supply Chain Market Outlook, By Unsupervised Learning (2018-2027) ($MN)
  • Table 17 Global Artificial Intelligence in Supply Chain Market Outlook, By Reinforcement Learning (2018-2027) ($MN)
  • Table 18 Global Artificial Intelligence in Supply Chain Market Outlook, By Natural Language Processing (NLP) (2018-2027) ($MN)
  • Table 19 Global Artificial Intelligence in Supply Chain Market Outlook, By Context-Aware Computing (2018-2027) ($MN)
  • Table 20 Global Artificial Intelligence in Supply Chain Market Outlook, By Computer Vision (2018-2027) ($MN)
  • Table 21 Global Artificial Intelligence in Supply Chain Market Outlook, By Cognitive Computing (2018-2027) ($MN)
  • Table 22 Global Artificial Intelligence in Supply Chain Market Outlook, By Application (2018-2027) ($MN)
  • Table 23 Global Artificial Intelligence in Supply Chain Market Outlook, By Fleet Management (2018-2027) ($MN)
  • Table 24 Global Artificial Intelligence in Supply Chain Market Outlook, By Supply Chain Planning (2018-2027) ($MN)
  • Table 25 Global Artificial Intelligence in Supply Chain Market Outlook, By Warehouse Management (2018-2027) ($MN)
  • Table 26 Global Artificial Intelligence in Supply Chain Market Outlook, By Virtual Assistant (2018-2027) ($MN)
  • Table 27 Global Artificial Intelligence in Supply Chain Market Outlook, By Risk Management (2018-2027) ($MN)
  • Table 28 Global Artificial Intelligence in Supply Chain Market Outlook, By Freight Brokerage (2018-2027) ($MN)
  • Table 29 Global Artificial Intelligence in Supply Chain Market Outlook, By Planning & Logistics (2018-2027) ($MN)
  • Table 30 Global Artificial Intelligence in Supply Chain Market Outlook, By Inventory Management (2018-2027) ($MN)
  • Table 31 Global Artificial Intelligence in Supply Chain Market Outlook, By Operational Procurement (2018-2027) ($MN)
  • Table 32 Global Artificial Intelligence in Supply Chain Market Outlook, By Supplier Relationship Management (2018-2027) ($MN)
  • Table 33 Global Artificial Intelligence in Supply Chain Market Outlook, By End User (2018-2027) ($MN)
  • Table 34 Global Artificial Intelligence in Supply Chain Market Outlook, By Automotive (2018-2027) ($MN)
  • Table 35 Global Artificial Intelligence in Supply Chain Market Outlook, By Aerospace (2018-2027) ($MN)
  • Table 36 Global Artificial Intelligence in Supply Chain Market Outlook, By Manufacturing (2018-2027) ($MN)
  • Table 37 Global Artificial Intelligence in Supply Chain Market Outlook, By Retail (2018-2027) ($MN)
  • Table 38 Global Artificial Intelligence in Supply Chain Market Outlook, By Healthcare (2018-2027) ($MN)
  • Table 39 Global Artificial Intelligence in Supply Chain Market Outlook, By Consumer-Packaged Goods (2018-2027) ($MN)
  • Table 40 Global Artificial Intelligence in Supply Chain Market Outlook, By Food & Beverages (2018-2027) ($MN)
  • Table 41 Global Artificial Intelligence in Supply Chain Market Outlook, By Energy & Power (2018-2027) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

目次

According to Stratistics MRC, the Global Artificial Intelligence in Supply Chain Market is accounted for $1,078.68 million in 2019 and is expected to reach $18,861.79 million by 2027 growing at a CAGR of 43.0% during the forecast period. Increasing demand for big data and demand for greater visibility and transparency are the major factors propelling the market growth. However, the limited number of AI experts and difficulties in data integration from multiple sources are hampering the market growth.

Artificial Intelligence (AI) is increasingly relied upon to improve operational efficiency and effectiveness of a broad spectrum of industries. Supply Chain Management (SCM) is a critical logistics function for the most modern enterprise. AI is being integrated into SCM solutions to improve everything from process automation to provide greater visibility into static and real-time data. AI in the SCM market also improves related management information systems. Accordingly, the AI in the supply chain management market represents a substantial opportunity for many software-driven and data-oriented companies. Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Based on the end-user, the consumer-packaged-goods segment is going to have a lucrative growth during the forecast period owing to the consistent proliferation of the e-commerce sector across emerging economies. The use of AI in the supply chain can offer profitable drop-shipping features such as providing product tracking, inventory management, and warehouse management.

By geography, Asia Pacific is going to have a lucrative growth during the forecast period due to the growing demand for AI-based business solutions for automation across several operational areas including supply chain management. Furthermore, increasing adoption of modern technologies including machine learning and natural language processing, government initiatives towards the adoption of advanced technologies, and rapid digitalization are also contributing to the fastest growth in the Asia Pacific region.

Some of the key players profiled in the Artificial Intelligence in Supply Chain Market include NVIDIA, IBM, Intel, Xilinx, Samsung Electronics, Micron Technology, Microsoft, Amazon, SAP, Oracle, Logility, LLamasoft, Inc., ClearMetal, Splice Machine, and Cainiao Network.

Offerings Covered:

  • Hardware
  • Software
  • Services

Technologies Covered:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision
  • Cognitive Computing

Applications Covered:

  • Fleet Management
  • Supply Chain Planning
  • Warehouse Management
  • Virtual Assistant
  • Risk Management
  • Freight Brokerage
  • Planning & Logistics
  • Inventory Management
  • Operational Procurement
  • Supplier Relationship Management

End Users Covered:

  • Automotive
  • Aerospace
  • Manufacturing
  • Retail
  • Healthcare
  • Consumer-Packaged Goods
  • Food & Beverages
  • Energy & Power

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2018, 2019 2020, 2024, and 2027
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence in Supply Chain Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Processors
      • 5.2.1.1 Microprocessing Unit (MPU)
      • 5.2.1.2 Graphics Processing Unit (GPU)
      • 5.2.1.3 Field Programmable Gate Arrays (FPGA)
      • 5.2.1.4 Application Specific Integrated Circuit (ASIC)
    • 5.2.2 Memory
    • 5.2.3 Network
  • 5.3 Software
    • 5.3.1 AI Platforms
      • 5.3.1.1 Application Program Interface (API)
      • 5.3.1.2 Machine Learning Framework
      • 5.3.1.3 Chatbots
      • 5.3.1.4 Deep Learning Software
    • 5.3.2 AI Solutions
  • 5.4 Services
    • 5.4.1 Deployment & Integration
      • 5.4.1.1 On Premise
      • 5.4.1.2 On Cloud
    • 5.4.2 Support & Maintenance

6 Global Artificial Intelligence in Supply Chain Market, By Technology

  • 6.1 Introduction
  • 6.2 Machine Learning
    • 6.2.1 Supervised Learning
    • 6.2.2 Unsupervised Learning
    • 6.2.3 Reinforcement Learning
  • 6.3 Natural Language Processing (NLP)
  • 6.4 Context-Aware Computing
  • 6.5 Computer Vision
  • 6.6 Cognitive Computing

7 Global Artificial Intelligence in Supply Chain Market, By Application

  • 7.1 Introduction
  • 7.2 Fleet Management
  • 7.3 Supply Chain Planning
  • 7.4 Warehouse Management
  • 7.5 Virtual Assistant
  • 7.6 Risk Management
  • 7.7 Freight Brokerage
  • 7.8 Planning & Logistics
  • 7.9 Inventory Management
  • 7.10 Operational Procurement
  • 7.11 Supplier Relationship Management

8 Global Artificial Intelligence in Supply Chain Market, By End User

  • 8.1 Introduction
  • 8.2 Automotive
  • 8.3 Aerospace
  • 8.4 Manufacturing
  • 8.5 Retail
  • 8.6 Healthcare
  • 8.7 Consumer-Packaged Goods
  • 8.8 Food & Beverages
  • 8.9 Energy & Power

9 Global Artificial Intelligence in Supply Chain Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 NVIDIA
  • 11.2 IBM
  • 11.3 Intel
  • 11.4 Xilinx
  • 11.5 Samsung Electronics
  • 11.6 Micron Technology
  • 11.7 Microsoft
  • 11.8 Amazon
  • 11.9 SAP
  • 11.10 Oracle
  • 11.11 Logility
  • 11.12 LLamasoft, Inc.
  • 11.13 ClearMetal
  • 11.14 Splice Machine
  • 11.15 Cainiao Network